Course details


Selected Topics in Deep Learning

WS 2021 Ulf Krumnack, Axel Schaffland OFFLINE
B.Sc modules:
CS-BWP-NI - Neuroinformatics
KOGW-WPM-NI - Neuroinformatics
M.Sc modules:
CC-MWP-NI - Neuroinformatics
CS-MWP-NI - Neuroinformatics
Fri: 10-12

There are no hard requirements for this course, but a basic knowledge of neural networks (like backpropagation, CNNs, RNNs) and experience with one of the common DL frameworks (like TensorFlow or Torch) is assumed. The ideal participant would have finished “Implementing ANNs in Tensorflow” or some comparable course before visiting this seminar. In the course we will read and discuss selected papers from the field of deep learning, with a focus on the visual domain (image process and computer vision), but also touching foundational issues and questions of general interest.